code: def load_context(self, context):
      self._classifier = mlflow.sklearn.load_model(
          context.artifacts["model_path"]
      )
  
file_path: mlflow/mlflow/recipes/utils/wrapped_recipe_model.py
imports: from typing import Any, Dict, Optional
  import numpy
  import pandas
  import mlflow
  from mlflow.pyfunc import PythonModel
label_desc: Use image node_id 2 for calling the WrappedRecipeModel obj's underlying member method code with example usage: obj.load_context(context) without return types